The article analyzes a real‑world financing workflow where a failed electronic contract generation exposed legal, loss, and reputation risks, and it outlines critical ordering, dependency, and rollback cost considerations to improve service orchestration reliability.
The article systematically introduces the design and implementation of a采编式 (editing‑based) AIGC video production workflow, covering background analysis, service orchestration approaches such as state‑machine scheduling, module and component decomposition with bit‑mask slot management, configuration file definition, and practical flow scheduling using message queues and locks.
This case study describes how the hotel business gateway at Qunar was refactored using Spring WebFlux to achieve full‑process asynchronous handling, service orchestration, and significant performance gains—including a 100% increase in single‑machine throughput, 50% reduction in response latency, and lower code complexity—while outlining the analysis, solution design, results, and future work.
The article describes Punica, a cloud‑native, function‑as‑a‑service platform that unifies content‑understanding inference services through a one‑stop portal and unattended operations, improving deployment speed, resource utilization, and reducing manual effort for AI model serving.
Punica provides a cloud‑native, one‑stop platform that unifies Baidu’s content‑understanding inference services, automates testing, resource provisioning, and monitoring, and enables unattended, self‑healing operations with dynamic scaling and GPU scheduling, cutting onboarding time by half and reclaiming hundreds of GPUs.
This article details Baidu's end‑to‑end AIGC video production pipeline, explaining the business drivers, the challenges of automating script‑to‑video conversion, the service‑orchestration architecture based on state‑machine scheduling, module‑component decomposition, configuration files, and the practical workflow that now supports tens of thousands of videos per day.
The article explains simple yet essential principles for deciding service orchestration order, illustrates them with a cost‑based example of four independent services, and reflects on the deeper need to understand underlying business and technical rules rather than just project details.
This article details the architectural evolution of the Auto Home e‑commerce platform from its early monolithic stage through micro‑services, master‑data integration, and finally a platform‑centric architecture, describing the technical challenges, design decisions, service orchestration, extension‑point mechanisms, configuration management, tooling, data visualization, and knowledge‑sharing practices that enabled scalable, high‑performance online car sales.
The article examines the difficulties encountered when implementing a Backend‑For‑Frontend (BFF) layer in the JD Finance app, introduces a visual service‑orchestration platform that replaces hard‑coded solutions with drag‑and‑drop workflows, details its core functions, architecture, and performance benefits, and demonstrates how it dramatically improves delivery speed, service governance, and debugging efficiency.
The article details the challenges of PHP invoking Java interfaces, compares two existing solutions, and presents a comprehensive refactoring approach that automates code conversion, resolves generic parsing and sandbox debugging issues, and reduces the integration steps from eight to three for more efficient backend development.
This article explores comprehensive API lifecycle management, detailing how a lightweight API gateway works with a robust development platform that uses object‑driven modeling to generate contracts, map to databases, publish services, handle testing, documentation, rule processing, and visual service orchestration.
This article explains how an API development platform can manage the full API lifecycle—design, development, testing, deployment, monitoring, and orchestration—by leveraging object‑driven modeling, automatic CRUD generation, rule processing, service composition, and source‑code export for microservice deployment.
This article explains the role, challenges, and solution of JD Daojia's business gateway, detailing how it aggregates multiple backend services, adopts workflow orchestration to improve code consistency, scalability, and development efficiency, and outlines future architectural considerations.
The article details Ctrip Business Travel's order system architecture, outlining its background, challenges of the original vertical‑only design, and the layered, process‑driven, and snapshot design principles that guide its evolution toward modular backend services, data consolidation, configurable messaging, and service orchestration.
This article explores comprehensive API lifecycle management, detailing how lightweight API gateways integrate with object‑driven development platforms, the division into four subsystems, automatic contract generation, rule handling, service composition, microservice packaging, and source‑code export, providing a practical roadmap for building scalable API solutions.
This article introduces Meituan’s Shepherd unified API gateway, covering its background, key technical designs—including architecture, high‑availability, usability, and extensibility—and outlines future cloud‑native evolution plans, offering insights for developers and operations engineers.
This article explores how to build a comprehensive API development platform that covers the entire API lifecycle—from lightweight gateway handling and object‑driven modeling to automatic contract generation, rule processing, service composition, source‑code export, and microservice packaging—providing practical guidance for backend engineers.
This article examines the background, design principles, high‑availability techniques, extensibility, and future roadmap of Meituan’s internally built Shepherd API gateway, showing how it streamlines microservice API management, improves developer productivity, and evolves toward a cloud‑native architecture.
The article explains how to manage the entire API lifecycle—from design, development, testing, and deployment to monitoring and governance—by separating responsibilities into an API development platform, a lightweight gateway, a monitoring layer, and a control portal, while emphasizing object‑driven modeling, automatic contract generation, rule processing, service composition, and microservice packaging.
This article explores comprehensive API lifecycle management, detailing how a lightweight API gateway works with a robust development platform that uses object‑driven modeling to automatically generate CRUD interfaces, map objects to databases, support testing, documentation, rule processing, service composition, code export, and microservice packaging.
This article explains how to manage the complete API lifecycle by using an API development platform for object‑driven modeling, automatic contract generation, integration with API gateways, rule processing, service composition, source‑code export, and microservice deployment, providing a comprehensive guide for modern backend development.
This article examines common pain points in building and maintaining business applications, proposes a design specification that standardizes technical details, encourages component reuse, promotes continuous refactoring, and introduces a service orchestration engine to streamline complex workflow integration.
This article compares microservices and SOA architectures, examining component sharing philosophies, service orchestration versus choreography, the role of API layers versus message middleware, and how remote service access differs, highlighting the impact on coupling, performance, and maintainability.
Explore comprehensive API lifecycle management, covering lightweight gateway design, object‑driven API modeling, automatic interface generation, rule processing, service composition, orchestration, source code export, and microservice packaging, illustrating how to build, test, document, and deploy robust backend services efficiently.
This article explains how a lightweight API gateway works together with an object‑model‑driven API development platform to manage the entire API lifecycle—including design, development, monitoring, governance, testing, documentation, rule processing, service composition, and source‑code export—while keeping protocol conversion and data mapping out of the gateway.
This article describes the design, architecture, and innovations of a custom API gateway for microservice systems, covering technical selection, protocol conversion for Dubbo, service orchestration, embedded gateway deployment, high‑availability strategies, and measurable efficiency gains.
The article examines the architectural differences between microservices and Service‑Oriented Architecture, covering component sharing, service orchestration versus choreography, middleware roles, API layers, and remote service access, highlighting how each style impacts coupling, performance, and deployment complexity.
The article describes how Gaode refactored its multi‑endpoint car‑networking services by replacing duplicated REST APIs with atomic GraphQL‑driven services orchestrated through an API gateway, using a lightweight DSL and plugins to handle non‑business concerns, achieving ~60% reduction in custom code and faster development.
This article provides a detailed overview of an API gateway solution, covering its background, advantages, core functions, comparison with open-source alternatives, typical usage scenarios, business and technical architectures, feature list, configuration interface, performance testing results, and future development plans.
Pirate Middleware introduces a JSON‑based DSL that orchestrates generic service calls across Meituan’s myriad business lines, replacing heavyweight custom adapters with a decoupled, parallel‑or‑sequential execution engine, thereby shifting data preparation to business teams, cutting development effort, and enhancing reuse, monitoring, and overall platform efficiency.
This article explains why X86 bare‑metal services are essential for high‑performance, security‑critical workloads, describes their architecture and management processes, and outlines the steps—standardization, automation, service‑orientation, and self‑service—used by Hengfeng Bank to implement and operate them.
This article details the evolution from manual, standardized operations to an automated, intelligent cloud operations platform for a banking card organization, describing its motivations, core features, key scenarios, technical architecture, scheduling algorithms, data visualization, and real‑world outcomes.
